Subjects: Psychology >> Developmental Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Statistical learning (SL), which was first addressed in the seminal study on speech segmentation of infants by Saffran et al. (1996), is a process of detecting the statistical regularities such as transitional probability in continuous flow of stimuli. Previous studies have proven the general existence of SL, and in recent years close attention has been placed on its specificity and its impact on other cognitive activities, especially revealing the cognitive neural mechanisms of SL and its interaction with language by exploring the process and the specificity of SL. According to the multimodal data from brain and behavior measures, future studies should seek more behavioral and neural indexes to evaluate the performance of SL, to explore the dynamic changes in neural activities of different types of SL and to construct the connection between neural correlates and behavioral performance, which will help to have an in-depth understanding of SL. Based on previous discoveries on the interaction between SL and language, future studies could determine whether SL is an effective intervention to improve language acquisition and how it works in the improvement, through exploring the effect of music SL training on second language learning of adult learners.
Subjects: Psychology >> Social Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Structural equation modeling (SEM) is an important statistical method in social science research. In the first two decades of the 21st century, great progress has been made in methodological research on SEM in China’s mainland. The publications cover five aspects: model development, parameter estimation, model evaluation, measurement invariance and the special data processing in SEM. SEM development includes the research on measurement models, structural models, and complete models, as well as the SEM in population heterogeneity studies and longitudinal studies. The research on the measurement models involves bi-factor model, exploratory structural equation model, measurement models for special design (e.g., random intercept factor analysis model, fixed-links model, and the Thurston model), and formative measurement models. The research on the structural models involves the actor-partner interdependence model. The research on the complete models focuses on item parceling. The SEM in the study of population heterogeneity involves latent class/profile model, factor mixture model, and multi-level latent class model. The SEM in longitudinal studies includes models describing development trajectories and differences, such as the latent growth model, the piecewise growth model, the latent class growth model, the growth mixture model, the piecewise growth mixture model, the latent transition model and the cross-lagged model. The publications on parameter estimation methods mainly involve the introduction of methodology (including the partial least square method and the Bayesian method) and the comparison of different parameter estimation methods. Advances in the model evaluation include fit indices and their corresponding critical values, selection of fit indices, model evaluation criteria beyond fit indices, and comparison and selection among alternative models. The development of measurement invariance involves three topics: (1) the introduction of different models with testing process and model evaluation criteria for measurement invariance analysis; (2) measurement invariance analysis in a particular model or data (e.g., second order factor model and ordered categorical data); (3) new methods of measurement invariance analysis (e.g., alignment and projection method). In addition, research into special data processing methods in SEM addresses issues of missing data, non-continuous data, non-normal data, and latent variable scores. Finally, recent advances in SEM methodological research abroad are introduced to help researchers understand some cutting-edge topics in this field, which offers implications for future directions of SEM methodological research.
Subjects: Psychology >> Social Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： The big-five personality profile is the combination of the high and low level big-five personality traits in individuals, which fully considers the interaction between personality traits and reflects the differences in quantity and quality of the big-five personality traits among different subgroups. The big-five personality profile is significant to explain the variable-centered contradictory conclusions, which meets the needs of organizational management practice and has a stronger guiding significance for practice. To date, more and more research has applied person-centered approach to examine the role of personality profile in personnel evaluation, human resource development and decision-making. However, the existing relevant reviews of the big-five personality were variables-centered, and there is a lack of systematically reviewing the core issues of the big-five personality, such as the theoretical basis for dividing individuals into different subgroups based on the big-five personality, the number of profiles composed of the big-five personality traits and the characteristic similarity of the profiles obtained from different studies, etc. Moreover, the research on the big-five personality profiles has just started in the organizational behavior and human resource management field, so it is uncertain that how many big-five personality profiles can effectively explain the predictive role of personality. The advantages of the big-five personality profiles research over the big-five personality traits research are reflected in: (1) The former considers personality as an integrated system, fully considering the interaction between the big-five personality traits. As an important supplement to the latter, it can expand the understanding of the relationship between personality traits and different outcomes. (2) The study of big-five personality profiles is convenient for variable combination, and the constructed profiles can be used as a variable, which is beneficial to explain the contradictory conclusions of past variable-centered research. (3) The research of big-five personality profiles, a typical application of person-centered approach, is more in line with the reality of sample heterogeneity. (4) The big-five personality profiles are more in line with reality of the individual's cognitive model and has a stronger guiding significance for practice. Based on the person-centered approach, a systematic review of relevant research on the big-five personality profiles in the field of organizational behavior and human resource management. We found: (1) The number of big-five personality profiles is affected by measurement tools, research situation, sample characteristics, research methods and so on. Based on the ego control - ego resiliency model, four profiles can be identified, which include commonly known Resilient profile, Ordinary profile and Rigid profile. (2) The big-five personality profiles act more as independent variables to explore whether there are differences in key outcomes and as moderators regarded as important resources for individuals to cope with identity transformation and work pressures. Four directions for future research were proposed: (1) Strengthen the theoretical foundation and explore the role of other theories in explaining the big-five personality profiles. (2) Strengthen repetitive research and identify the general big-five personality profiles, which is conducive to the comparison of subsequent research conclusions and also to provide guidance for practical managers. (3) Identify the antecedents of the big-five personality profiles to better understand why different research conclusions differ. (4) Include more personality traits to describe the personality profiles more thoroughly. Finally, in the field of organizational management and human resources management, future research can learn from the personality profiles in psychology to probe into the employee category with multiple personality traits to realize employee category management more comprehensively and accurately.
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